AIMC Topic: Disease Progression

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Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Aged Adult Sensitivity and Specificity Cross-Sectional Studies Male Algorithms Prognosis Retrospective Studies Female Liver Cirrhosis Hypertension Metabolic Syndrome Decision Making Non-alcoholic Fatty Liver Disease Middle Aged Disease Progression Prevalence Severity of Illness Index Diabetes Mellitus, Type 2 Humans Machine Learning
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MRI-based prediction of conversion from clinically isolated syndrome to clinically definite multiple sclerosis using SVM and lesion geometry.

Brain imaging and behavior Oct 1, 2019
Neuroanatomical pattern classification using support vector machines (SVMs) has shown promising results in classifying Multiple Sclerosis (MS) patients based on individual structural magnetic resonance images (MRI). To determine whether pattern class...
Adult Male Disease Progression Support Vector Machine Magnetic Resonance Imaging Randomized Controlled Trials as Topic Multiple Sclerosis Gray Matter Humans Female
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[French ccAFU guidelines – Update 2018–2020: Bladder cancer].

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie Sep 20, 2019
OBJECTIVE: To propose updated French guidelines for non-muscle invasive (NMIBC) and muscle-invasive (MIBC) bladder cancers.
Medical Oncology Cystectomy History, 21st Century Urinary Bladder Neoplasms Humans Cystoscopy Diagnostic Imaging Administration, Intravesical Disease Progression France Watchful Waiting Carcinoma, Transitional Cell Antineoplastic Agents Combined Modality Therapy Immunotherapy Survival Analysis
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Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Early prediction of diseased brain conditions is critical for curing illness and preventing irreversible neuronal dysfunction and loss. Generically regarding the different neuroimaging modalities as filtered, complementary insights of brain's anatomi...
Alzheimer Disease Neuroimaging Disease Progression Deep Learning Cognitive Dysfunction Magnetic Resonance Imaging Humans Forecasting Brain
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Automatic Classification and Monitoring of Denovo Parkinson's Disease by Learning Demographic and Clinical Features.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Parkinson's Disease (PD) is the second most prevalent progressive neurological disorder around the world with high incidence rates for seniors. Since most symptoms are exposed in the later stages of the disease, early diagnosis of PD is essential for...
Humans Machine Learning Biomarkers Disease Progression Parkinson Disease Early Diagnosis Automation Demography
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Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering.

Neuroinformatics Jul 1, 2019
Amyotrophic lateral sclerosis (ALS) is a complex progressive neurodegenerative disorder with an estimated prevalence of about 5 per 100,000 people in the United States. In this study, the ALS disease progression is measured by the change of Amyotroph...
Humans Machine Learning Female Reproducibility of Results Adult Bayes Theorem Male Middle Aged Amyotrophic Lateral Sclerosis Disease Progression Linear Models Cluster Analysis
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Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas.

Clinical and translational gastroenterology May 22, 2019
OBJECTIVES: Intraductal papillary mucinous neoplasms (IPMNs) are precursor lesions of pancreatic adenocarcinoma. Artificial intelligence (AI) is a mathematical concept whose implementation automates learning and recognizing data patterns. The aim of ...
Deep Learning ROC Curve Image Processing, Computer-Assisted Aged, 80 and over Endosonography Pancreatic Neoplasms Adult Humans Male Carcinoma, Pancreatic Ductal Pancreas Retrospective Studies Middle Aged Pancreatectomy Female Disease Progression Preoperative Period Aged Pancreatic Intraductal Neoplasms
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An outcome model approach to transporting a randomized controlled trial results to a target population.

Journal of the American Medical Informatics Association : JAMIA May 1, 2019
OBJECTIVE: Participants enrolled into randomized controlled trials (RCTs) often do not reflect real-world populations. Previous research in how best to transport RCT results to target populations has focused on weighting RCT data to look like the tar...
Translational Research, Biomedical Outcome Assessment, Health Care Valsartan Evidence-Based Medicine Prediabetic State Nateglinide Disease Progression Diabetes Mellitus, Type 2 Hypoglycemic Agents Randomized Controlled Trials as Topic Antihypertensive Agents Humans Machine Learning Electronic Health Records Cardiovascular Diseases
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Deep Learning for Prediction of AMD Progression: A Pilot Study.

Investigative ophthalmology & visual science Feb 1, 2019
PURPOSE: To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging and methods of deep learning.
Male Middle Aged Disease Progression Diagnosis, Computer-Assisted Pilot Projects Machine Learning Deep Learning Humans ROC Curve Female Neural Networks, Computer Follow-Up Studies Aged Tomography, Optical Coherence Aged, 80 and over Wet Macular Degeneration
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Network Tomography for Understanding Phenotypic Presentations in Aortic Stenosis.

JACC. Cardiovascular imaging Feb 1, 2019
OBJECTIVES: This study sought to build a patient-patient similarity network using multiple features of left ventricular (LV) structure and function in patients with aortic stenosis (AS). The study further validated the observations in an experimental...
Time Factors Humans Disease Models, Animal Machine Learning Aortic Valve Stenosis Ventricular Function, Left Female Aortic Valve Aged, 80 and over Echocardiography Reproducibility of Results Predictive Value of Tests Mice, Knockout Middle Aged Aged Cross-Sectional Studies Heart Ventricles Disease Progression Animals Image Interpretation, Computer-Assisted Severity of Illness Index Male Heart Valve Prosthesis Implantation Balloon Valvuloplasty
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